code: def model_file():
      if not (BOT_DIRECTORY / "models" / "model.tar.gz").exists():
          output_directory = TemporaryDirectory()
          print(output_directory)
  
          train(
              domain=str(BOT_DIRECTORY / "domain.yml"),
              config=str(BOT_DIRECTORY / "config.yml"),
              training_files=str(BOT_DIRECTORY / "data"),
              output=str(BOT_DIRECTORY / "models"),
              fixed_model_name="model",
          )
  
      return str(BOT_DIRECTORY / "models" / "model.tar.gz")
  
file_path: rasa/tests/regressions/test_action_extract_slots_11333.py
imports: import os
  from pathlib import Path
  from tempfile import TemporaryDirectory
  from typing import Text
  import pytest
  from rasa import train
  from rasa.core.agent import load_agent
  from rasa.core.channels import UserMessage, CollectingOutputChannel
label_desc: Use image node_id 1 for calling a global function with example usage: model_file() and returns: str